Developing applications that make effective use of machine-readable knowledge sources as promised by the Semantic Web vision is attracting much of current research interest; this v...
In this paper, we investigate the link between logics of games and “mentalistic” logics of rational agency, in which agents are characterized in terms of attitudes such as beli...
Wojciech Jamroga, Wiebe van der Hoek, Michael Wool...
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
Abstract—In semantic matchmaking processes it is often useful, when the obtained match is not full, to provide explanations for the mismatch, to leverage further interaction and/...
Tommaso Di Noia, Eugenio Di Sciascio, Francesco M....
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...